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In this review, divergent aspects from the largely segmented literature and recent conferences are drawn together to provide observations revealing some emerging reasoning, in terms of "final common pathways" of cancer cell damage, immune stimulation, and auto-vaccination events, ultimately leading to cancer cell destruction.
This review provides some observations from the literature and recent conferences and proposes some emerging reasoning capable of explaining these phenomena in terms of a final common pathway(s) of immune stimulation and "auto-vaccination events" ultimately leading to cancer cell destruction that can produce the CRs and which affect patient survival.
To help foster discussion, the session began with three short presentations by Amos Bairoch (The challenges of integrating protein-centric resources with genomic-centric resources), Bernard Henrissat (Functional predictions: The good, the bad and the ugly) and Dan Haft (Biocuration Challenges for High Dimensional Data: Derived Objects, Dark Matter and Emerging Reasoning Methods).
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In the last few years a new research area, called stream reasoning, emerged to bridge the gap between reasoning and stream processing.
This lack of theory is of particular relevance for the emerging research in stream reasoning which shifts the focus from throughput to higher expressiveness.
Investigators in the translational research and systems medicine domains require highly usable, efficient and integrative tools and methods that allow for the navigation of and reasoning over emerging large-scale data sets.
Among these methods Case Based Reasoning is emerging as an efficient approach to deal with this challenge, allowing to store previous design cases to help for solving new problems and reducing considerably the design time.
A bit like Keynes's wisecrack about practical men being slaves of a defunct economist, financiers and regulators were slaves of defunct finance professors.One important consequence of this reasoning emerged in a quote from David Viniar, chief financial officer of Goldman Sachs, the investment bank, in August 2007.
This note describes how the notion of nonmonotonic reasoning emerged in Artificial Intelligence from the mid-1960's to 1980.
Two themes emerged from their reasoning about malnutrition related to ethical responsibility.
As information about the suspects and their reasoning is still emerging, this uncertainty opens the door for a variety of explanations that can spread rapidly over the internet and online social networks.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com